Related papers: Artificial life: sustainable self-replicating systems

Artificial life: sustainable self-replicating systems

URL: http://arxiv.org/abs/2105.13971v2
Date: Mon, 4 Oct 2021 20:49:52 GMT
Title: Artificial life: sustainable self-replicating systems
Authors: Carlos Gershenson and Jitka Cejkova
Abstract summary: Interdisciplinary field of Artificial Life aims to study life "as it could be" The word "artificial" refers to the fact that humans are involved in the creation process. The artificial life forms might be completely unlike natural forms of life, with different chemical compositions.
Score: 0.0
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Nature has found one method of organizing living matter, but maybe other options exist -- not yet discovered -- on how to create life. To study the life "as it could be" is the objective of an interdisciplinary field called Artificial Life (commonly abbreviated as ALife). The word "artificial" refers to the fact that humans are involved in the creation process. The artificial life forms might be completely unlike natural forms of life, with different chemical compositions, and even computer programs exhibiting life-like behaviours.

Related papers

NatureLM: Deciphering the Language of Nature for Scientific Discovery [105.57567762153462]
Foundation models have revolutionized natural language processing and artificial intelligence. We introduce Nature Language Model (briefly, NatureLM), a sequence-based science foundation model for scientific discovery.
arXiv Detail & Related papers (2025-02-11T13:08:03Z)
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems [59.117526206317116]
We show that CELL can adaptively evolve into different models for different tasks and data. Experiments on four real-world datasets demonstrate that CELL significantly outperforms state-of-the-art baselines.
arXiv Detail & Related papers (2024-05-29T02:35:23Z)
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation [63.42591251500825]
We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered robotics. The first is the definition of 1,000 everyday activities grounded in 50 scenes with more than 9,000 objects annotated with rich physical and semantic properties. The second is OMNIGIBSON, a novel simulation environment that supports these activities via realistic physics simulation and rendering of rigid bodies, deformable bodies, and liquids.
arXiv Detail & Related papers (2024-03-14T09:48:36Z)
On the Emergence of Symmetrical Reality [51.21203247240322]
We introduce the symmetrical reality framework, which offers a unified representation encompassing various forms of physical-virtual amalgamations. We propose an instance of an AI-driven active assistance service that illustrates the potential applications of symmetrical reality.
arXiv Detail & Related papers (2024-01-26T16:09:39Z)
Biomaker CA: a Biome Maker project using Cellular Automata [69.82087064086666]
We introduce Biomaker CA: a Biome Maker project using Cellular Automata (CA) In Biomaker CA, morphogenesis is a first class citizen and small seeds need to grow into plant-like organisms to survive in a nutrient starved environment. We show how this project allows for several different kinds of environments and laws of 'physics', alongside different model architectures and mutation strategies.
arXiv Detail & Related papers (2023-07-18T15:03:40Z)
On the Liveliness of Artificial Life [0.0]
We define life as "any system with a boundary to confine the system within a definite volume" We argue that digital organisms may not be the boundary case of life even though some digital organisms are not considered alive.
arXiv Detail & Related papers (2023-02-19T08:31:54Z)
Hybrid Life: Integrating Biological, Artificial, and Cognitive Systems [0.31498833540989407]
Hybrid Life is an attempt to bring attention to some of the most recent developments within the artificial life community. It focuses on three complementary themes: 1) theories of systems and agents, 2) hybrid augmentation, with augmented architectures combining living and artificial systems, and 3) hybrid interactions among artificial and biological systems.
arXiv Detail & Related papers (2022-12-01T05:18:06Z)
Artificial life using the book and bookmarker [0.0]
The cellular automata is highly restricted in its form and behavior because it represents life as a pattern of cells. The virtual creatures found in the proposed model have unique survival strategies and lifestyles. They have acquired interesting properties in reproduction, development, and individual interactions while having freedom in morphology and behavior.
arXiv Detail & Related papers (2022-10-07T15:59:27Z)
The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents [51.94554095091305]
We argue for an introspective agent, which considers its own abilities in the context of its environment. Just as in nature, we hope to reframe strategy as one tool, among many, to succeed in an environment.
arXiv Detail & Related papers (2022-01-02T20:14:01Z)
Emergence in artificial life [0.0]
emergence has been identified as one of the features of complex systems. It can be said that life emerges from the interactions of complex molecules. ALife systems are not so complex, be them soft (simulations), hard (robots), or wet (protocells)
arXiv Detail & Related papers (2021-04-30T16:40:52Z)
Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence [0.0]
I argue that failures can be a blueprint characterizing living organisms and biological intelligence. Imitating biological successes in Artificial Life and Artificial Intelligence can be misleading; imitating failures offers a path towards understanding and emulating life it in artificial systems.
arXiv Detail & Related papers (2021-02-24T05:43:44Z)

This list is automatically generated from the titles and abstracts of the papers in this site.